-----------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC1_Pa
> nelA.log
  log type:  text
 opened on:  19 Feb 2024, 00:43:02

. foreach var in default treatment_ongoing treatment_complete died outcome_unknown{
  2. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13 pos
> t_exp, cluster(uid_cluster) reps(5000) rseed(13915183)
  3. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13 pos
> t_exp $patient_controls_b, cluster(uid_cluster) reps(5000) rseed(13915183)
  4. }

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.........30..... done (35)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30.........40. done (41)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10........ done (18)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.........30.........40 done (40)
  Upper bound: .........10.........20.........30.........40..... done (45)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10........ done (18)

Wild cluster bootstrap                             Number of obs      = 2,802
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    11
Error weight: Rademacher                                          avg =  43.1
                                                                  max =   101
-----------------------------------------------------------------------------
                 default |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0180333   -2.58   0.022    -.034393   -.0022395
   final_stratum_id1 = 0 |   -.005786   -0.49   0.670   -.0799338    .0594814
   final_stratum_id2 = 0 |  -.0623662   -9.40   0.010   -.0914027   -.0349498
   final_stratum_id3 = 0 |    .004739    0.69   0.524   -.0510691    .0667494
   final_stratum_id4 = 0 |  -.0353356   -3.88   0.071   -.1707699    1.868669
   final_stratum_id5 = 0 |  -.0605007   -6.23   0.026   -.0995152   -.0179987
   final_stratum_id6 = 0 |  -.0295004   -1.52   0.361   -.1042908    1.036824
   final_stratum_id7 = 0 |  -.0756649   -6.40   0.094   -.2971724    1.490135
   final_stratum_id8 = 0 |  -.0149072   -1.08   0.378   -.0717681    .0437126
   final_stratum_id9 = 0 |  -.0420878   -3.14   0.063   -.0943731    .0108831
  final_stratum_id10 = 0 |   .0224697    2.03   0.166   -.0196141    .0702717
  final_stratum_id11 = 0 |  -.0914103  -16.99   0.011    -.109827   -.0737932
  final_stratum_id12 = 0 |  -.0932115  -14.29   0.061   -.1643598    1.211064
  final_stratum_id13 = 0 |  -.0922608  -16.02   0.030   -.1064537   -.0756806
            post_exp = 0 |   .0009885    0.08   0.934   -.0228265    .0243172
-----------------------------------------------------------------------------
note: _dum_migrate_6plus omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.........30......... done (39)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.........30........ done (38)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.........30........ done (38)
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _male = 0 ...
Computing confidence interval for _male
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10....... done (17)

Performing 5,000 replications for p-value for _age = 0 ...
Computing confidence interval for _age
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _caste_general = 0 ...
Computing confidence interval for _caste_general
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for _hindu = 0 ...
Computing confidence interval for _hindu
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for _rw_both = 0 ...
Computing confidence interval for _rw_both
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _ownhouse = 0 ...
Computing confidence interval for _ownhouse
  Lower bound: .........10......... done (19)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _hhd_size = 0 ...
Computing confidence interval for _hhd_size
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _migrate_always = 0 ...
Computing confidence interval for _migrate_always
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10..... done (15)

Performing 5,000 replications for p-value for _migrate_6plus = 0 ...
Computing confidence interval for _migrate_6plus
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _time_to_center = 0 ...
Computing confidence interval for _time_to_center
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _dum_male = 0 ...
Computing confidence interval for _dum_male
  Lower bound: .........10.........20.........30...... done (36)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for _dum_age = 0 ...
Computing confidence interval for _dum_age
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for _dum_caste_general = 0 ...
Computing confidence interval for _dum_caste_general
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _dum_hindu = 0 ...
Computing confidence interval for _dum_hindu
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _dum_rw_both = 0 ...
Computing confidence interval for _dum_rw_both
  Lower bound: .........10.........20.........30......... done (39)
  Upper bound: .........10.........20.........30........ done (38)

Performing 5,000 replications for p-value for _dum_ownhouse = 0 ...
Computing confidence interval for _dum_ownhouse
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _dum_hhd_size = 0 ...
Computing confidence interval for _dum_hhd_size
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for _dum_migrate_always = 0 ...
Computing confidence interval for _dum_migrate_always
  Lower bound: .........10.........20.........30.... done (34)
  Upper bound: .........10.........20.........30......... done (39)

Performing 5,000 replications for p-value for _dum_time_to_center = 0 ...
Computing confidence interval for _dum_time_to_center
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10....... done (17)

Wild cluster bootstrap                             Number of obs      = 2,802
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    11
Error weight: Rademacher                                          avg =  43.1
                                                                  max =   101
-----------------------------------------------------------------------------
                 default |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0154199   -2.29   0.044   -.0306416   -.0003836
   final_stratum_id1 = 0 |   .0199946    1.31   0.260   -.0514693    .1165975
   final_stratum_id2 = 0 |  -.0773711   -6.93   0.005    -.118312   -.0518581
   final_stratum_id3 = 0 |   .0252704    2.47   0.088   -.0158736    .1013655
   final_stratum_id4 = 0 |  -.0604293   -4.59   0.030   -.1628067    -.025888
   final_stratum_id5 = 0 |   -.029197   -2.08   0.154    -.068676    .0274815
   final_stratum_id6 = 0 |  -.0156227   -0.64   0.616   -.0938176    1.020223
   final_stratum_id7 = 0 |  -.0481185   -2.96   0.164   -.0962101    .4756168
   final_stratum_id8 = 0 |  -.0007675   -0.05   0.962   -.0432778     .060564
   final_stratum_id9 = 0 |  -.0385023   -4.16   0.026   -.0697526   -.0058861
  final_stratum_id10 = 0 |   .0310617    2.94   0.058   -.0034254    .0887447
  final_stratum_id11 = 0 |   -.074903   -7.77   0.014   -.0942236   -.0433241
  final_stratum_id12 = 0 |  -.1158233   -8.76   0.065   -.3568392    1.200778
  final_stratum_id13 = 0 |  -.0903159   -9.03   0.039   -.1120572     -.04901
            post_exp = 0 |  -.0005113   -0.04   0.961   -.0243017    .0231008
               _male = 0 |   .0258366    3.12   0.002    .0092177    .0424487
                _age = 0 |   .0005693    1.73   0.096   -.0000885    .0012486
      _caste_general = 0 |   .0054367    0.52   0.620   -.0163791    .0271619
              _hindu = 0 |   .0245272    1.85   0.085   -.0044554    .0517934
            _rw_both = 0 |   .0000609    0.00   0.996   -.0258695    .0252005
           _ownhouse = 0 |  -.0016936   -0.17   0.866   -.0211993    .0184218
           _hhd_size = 0 |  -.0005967   -0.29   0.764   -.0048164    .0036903
     _migrate_always = 0 |   .0186824    1.56   0.126   -.0046912    .0427243
      _migrate_6plus = 0 |   .0216372    1.41   0.179   -.0093214    .0530155
     _time_to_center = 0 |  -.0003394   -0.49   0.635   -.0017517    .0011686
           _dum_male = 0 |  -.0052615   -0.27   0.765    -4.31123    .0573133
            _dum_age = 0 |  -.0324661   -1.46   0.206   -.5622028    1.569202
  _dum_caste_general = 0 |   .0406583    1.08   0.300   -.0396146    .1232989
          _dum_hindu = 0 |   -.020281   -1.22   0.212   -.0591512    .0112131
        _dum_rw_both = 0 |   .0096667    0.45   0.698   -13.28051    9.656256
       _dum_ownhouse = 0 |  -.0217065   -0.45   0.646   -.1103324    .1116461
       _dum_hhd_size = 0 |  -.0545616   -1.43   0.222   -1.053099    .7847688
 _dum_migrate_always = 0 |   -.036416   -2.09   0.390   -3.424654    2.982583
 _dum_time_to_center = 0 |    .047575    2.41   0.024    .0069902    .0883039
-----------------------------------------------------------------------------

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90.........100 done (100)
upper confidence bound not found

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.........30.........40......... done (49)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30.... done (34)
  Upper bound: .........10.........20.........30.........40.... done (44)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.........30...... done (36)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30...... done (36)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20 done (20)

Wild cluster bootstrap                             Number of obs      = 2,802
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    11
Error weight: Rademacher                                          avg =  43.1
                                                                  max =   101
-----------------------------------------------------------------------------
       treatment_ongoing |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .0219343    0.89   0.478   -.0375711    .0799678
   final_stratum_id1 = 0 |   .1964187    2.87   0.109   -.2105889     .591781
   final_stratum_id2 = 0 |   .0888797    1.41   0.554   -.0893345    .2611359
   final_stratum_id3 = 0 |  -.0494067   -0.86   0.646   -.8380602    .3468112
   final_stratum_id4 = 0 |  -.0178583   -0.26   0.796   -.2478723           .
   final_stratum_id5 = 0 |   .2289329    3.82   0.028    .0546602    .3749876
   final_stratum_id6 = 0 |   .0969836    1.44   0.435   -.3099564    .2583825
   final_stratum_id7 = 0 |   .2795185    2.35   0.226    -.651144     8.38952
   final_stratum_id8 = 0 |   .2215953    3.29   0.034    .0282249    .4328499
   final_stratum_id9 = 0 |   .2126309    3.49   0.024     .021267    .3424297
  final_stratum_id10 = 0 |    .094208    1.63   0.572    -.084819    .2750226
  final_stratum_id11 = 0 |   .1596105    1.62   0.234   -.2556969    .5300445
  final_stratum_id12 = 0 |  -.0394586   -0.69   0.632   -8.507207    .3888054
  final_stratum_id13 = 0 |  -.0291625   -0.43   0.754   -.4219752      .17886
            post_exp = 0 |  -.0128929   -0.50   0.633    -.066528    .0401014
-----------------------------------------------------------------------------
note: _dum_migrate_6plus omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.........30.... done (34)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20.........30..... done (35)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _male = 0 ...
Computing confidence interval for _male
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _age = 0 ...
Computing confidence interval for _age
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for _caste_general = 0 ...
Computing confidence interval for _caste_general
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _hindu = 0 ...
Computing confidence interval for _hindu
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _rw_both = 0 ...
Computing confidence interval for _rw_both
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10....... done (17)

Performing 5,000 replications for p-value for _ownhouse = 0 ...
Computing confidence interval for _ownhouse
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _hhd_size = 0 ...
Computing confidence interval for _hhd_size
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _migrate_always = 0 ...
Computing confidence interval for _migrate_always
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _migrate_6plus = 0 ...
Computing confidence interval for _migrate_6plus
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _time_to_center = 0 ...
Computing confidence interval for _time_to_center
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _dum_male = 0 ...
Computing confidence interval for _dum_male
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20.........30..... done (35)

Performing 5,000 replications for p-value for _dum_age = 0 ...
Computing confidence interval for _dum_age
  Lower bound: .........10.........20.........30.........40... done (43)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for _dum_caste_general = 0 ...
Computing confidence interval for _dum_caste_general
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _dum_hindu = 0 ...
Computing confidence interval for _dum_hindu
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for _dum_rw_both = 0 ...
Computing confidence interval for _dum_rw_both
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20.........30.........40. done (41)

Performing 5,000 replications for p-value for _dum_ownhouse = 0 ...
Computing confidence interval for _dum_ownhouse
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for _dum_hhd_size = 0 ...
Computing confidence interval for _dum_hhd_size
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for _dum_migrate_always = 0 ...
Computing confidence interval for _dum_migrate_always
  Lower bound: .........10.........20.........30.........40.. done (42)
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for _dum_time_to_center = 0 ...
Computing confidence interval for _dum_time_to_center
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20. done (21)

Wild cluster bootstrap                             Number of obs      = 2,802
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    11
Error weight: Rademacher                                          avg =  43.1
                                                                  max =   101
-----------------------------------------------------------------------------
       treatment_ongoing |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .0197527    0.80   0.517   -.0398735    .0773001
   final_stratum_id1 = 0 |   .1782721    2.97   0.099   -.1698923    .5001954
   final_stratum_id2 = 0 |   .1019596    1.86   0.323   -.0493033    .2374059
   final_stratum_id3 = 0 |  -.0613691   -1.20   0.366   -.5914222    .3033955
   final_stratum_id4 = 0 |   .0172226    0.27   0.826   -.1862534    .1460703
   final_stratum_id5 = 0 |   .2112728    3.95   0.020    .0589821    .3604859
   final_stratum_id6 = 0 |   .0770219    1.26   0.454   -.2900142    .2351999
   final_stratum_id7 = 0 |   .2776424    2.37   0.176   -.0940808    .7456066
   final_stratum_id8 = 0 |   .2071613    3.45   0.023    .0390641    .3856547
   final_stratum_id9 = 0 |   .2047149    3.75   0.022    .0301404    .3330803
  final_stratum_id10 = 0 |    .079375    1.59   0.527   -.0751696    .2493589
  final_stratum_id11 = 0 |   .1448606    1.57   0.302   -.1530512    .4165656
  final_stratum_id12 = 0 |  -.0258908   -0.52   0.636    -1.71069    .1976698
  final_stratum_id13 = 0 |  -.0100174   -0.17   0.872   -.3261622     .155037
            post_exp = 0 |  -.0111184   -0.44   0.672    -.063051    .0406587
               _male = 0 |   -.015803   -0.70   0.480   -.0609171    .0297506
                _age = 0 |   .0009728    1.70   0.102   -.0002094    .0021118
      _caste_general = 0 |   -.014335   -0.56   0.583   -.0646322     .036979
              _hindu = 0 |  -.0293492   -1.08   0.277   -.0854971    .0258687
            _rw_both = 0 |   .0113917    0.64   0.508   -.0221463    .0457981
           _ownhouse = 0 |   .0161966    0.79   0.454   -.0269269    .0598717
           _hhd_size = 0 |   -.000156   -0.04   0.987   -.0091364    .0088032
     _migrate_always = 0 |   .0501741    2.36   0.020    .0071903    .0935679
      _migrate_6plus = 0 |   .0522536    2.33   0.026    .0064305    .0956447
     _time_to_center = 0 |   .0009408    0.65   0.508   -.0020781    .0040029
           _dum_male = 0 |  -.1644328   -0.85   0.554   -6.884622    45.09113
            _dum_age = 0 |   .2864862    1.12   0.476   -76.70381    9.953603
  _dum_caste_general = 0 |  -.1095584   -2.70   0.012   -.1935305   -.0276259
          _dum_hindu = 0 |  -.2131397   -1.92   0.074   -.4999477    .0304928
        _dum_rw_both = 0 |   .0245458    0.11   0.788   -19.00371    192.7154
       _dum_ownhouse = 0 |  -.0530107   -1.26   0.227   -.1451923    .0412792
       _dum_hhd_size = 0 |  -.1981238   -1.60   0.266   -12.05156    1.189952
 _dum_migrate_always = 0 |  -.3911461   -8.15   0.700   -33.59883    17.80115
 _dum_time_to_center = 0 |  -.0264731   -0.86   0.403   -.0894563    .0364485
-----------------------------------------------------------------------------

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30......... done (39)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.........30.... done (34)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.........30.........40.........50.........60..
> .......70.. done (72)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20. done (21)

Wild cluster bootstrap                             Number of obs      = 2,802
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    11
Error weight: Rademacher                                          avg =  43.1
                                                                  max =   101
-----------------------------------------------------------------------------
      treatment_complete |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   -.002528   -0.09   0.929   -.0680765    .0625294
   final_stratum_id1 = 0 |  -.1315332   -2.12   0.228   -.5028496     .313177
   final_stratum_id2 = 0 |   .0149509    0.31   0.806   -.1444244    .1443135
   final_stratum_id3 = 0 |   .0659379    1.35   0.292    -.376763    .8153767
   final_stratum_id4 = 0 |   .0862386    0.97   0.634   -10.46766    .6996933
   final_stratum_id5 = 0 |  -.1253166   -2.53   0.114   -.2932292     .027348
   final_stratum_id6 = 0 |  -.1033235   -1.99   0.278   -.2913001    .0745053
   final_stratum_id7 = 0 |  -.1605347   -1.29   0.438    -11.3271    1.095293
   final_stratum_id8 = 0 |  -.2448602   -4.47   0.029   -.4382126   -.0670572
   final_stratum_id9 = 0 |  -.1445953   -1.69   0.293   -.4110171    .2782903
  final_stratum_id10 = 0 |  -.0896673   -2.07   0.421   -.1902283    .0410992
  final_stratum_id11 = 0 |  -.1214439   -2.09   0.204   -.3243537      .05742
  final_stratum_id12 = 0 |    .094509    1.88   0.279   -.1953318    .3746038
  final_stratum_id13 = 0 |  -.0034947   -0.07   0.927   -.1644073    .2954533
            post_exp = 0 |   -.151709   -6.43   0.000   -.1997334   -.1034018
-----------------------------------------------------------------------------
note: _dum_migrate_6plus omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30.........40......... done (49)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.........30 done (30)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10........ done (18)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for _male = 0 ...
Computing confidence interval for _male
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _age = 0 ...
Computing confidence interval for _age
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _caste_general = 0 ...
Computing confidence interval for _caste_general
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _hindu = 0 ...
Computing confidence interval for _hindu
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _rw_both = 0 ...
Computing confidence interval for _rw_both
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _ownhouse = 0 ...
Computing confidence interval for _ownhouse
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _hhd_size = 0 ...
Computing confidence interval for _hhd_size
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _migrate_always = 0 ...
Computing confidence interval for _migrate_always
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _migrate_6plus = 0 ...
Computing confidence interval for _migrate_6plus
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _time_to_center = 0 ...
Computing confidence interval for _time_to_center
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _dum_male = 0 ...
Computing confidence interval for _dum_male
  Lower bound: .........10.........20.........30.........40.........50.........60. 
> done (61)
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for _dum_age = 0 ...
Computing confidence interval for _dum_age
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20.........30....... done (37)

Performing 5,000 replications for p-value for _dum_caste_general = 0 ...
Computing confidence interval for _dum_caste_general
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _dum_hindu = 0 ...
Computing confidence interval for _dum_hindu
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for _dum_rw_both = 0 ...
Computing confidence interval for _dum_rw_both
  Lower bound: .........10.........20.........30.........40.. done (42)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for _dum_ownhouse = 0 ...
Computing confidence interval for _dum_ownhouse
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _dum_hhd_size = 0 ...
Computing confidence interval for _dum_hhd_size
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for _dum_migrate_always = 0 ...
Computing confidence interval for _dum_migrate_always
  Lower bound: .........10.........20.........30.........40.........50..... done (5
> 5)
  Upper bound: .........10.........20.........30....... done (37)

Performing 5,000 replications for p-value for _dum_time_to_center = 0 ...
Computing confidence interval for _dum_time_to_center
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.... done (24)

Wild cluster bootstrap                             Number of obs      = 2,802
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    11
Error weight: Rademacher                                          avg =  43.1
                                                                  max =   101
-----------------------------------------------------------------------------
      treatment_complete |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0072631   -0.27   0.819   -.0692681    .0571903
   final_stratum_id1 = 0 |  -.1766882   -2.78   0.109   -.5721681    .2361315
   final_stratum_id2 = 0 |   .0483068    0.82   0.539   -.0931516    .1952089
   final_stratum_id3 = 0 |   .0331498    0.74   0.658   -.3741462     .513332
   final_stratum_id4 = 0 |   .1439755    1.50   0.296    -.078586    .4497126
   final_stratum_id5 = 0 |   -.171656   -3.68   0.024   -.3502455   -.0307389
   final_stratum_id6 = 0 |  -.1187056   -2.09   0.206   -.3543999    .1064847
   final_stratum_id7 = 0 |   -.206328   -1.78   0.296   -.7259093    .1642331
   final_stratum_id8 = 0 |  -.2597947   -4.90   0.016   -.4611495   -.1033878
   final_stratum_id9 = 0 |  -.1497797   -1.89   0.289   -.4029032    .1361895
  final_stratum_id10 = 0 |  -.1012241   -2.38   0.268   -.2304125     .032558
  final_stratum_id11 = 0 |  -.1582293   -2.76   0.065   -.3899408    .0065655
  final_stratum_id12 = 0 |   .1362744    2.13   0.163   -.0911911    .7490159
  final_stratum_id13 = 0 |  -.0071613   -0.15   0.888   -.1695802    .2770929
            post_exp = 0 |  -.1452345   -6.27   0.000   -.1926774   -.0979282
               _male = 0 |  -.0329192   -1.56   0.120   -.0747441    .0085024
                _age = 0 |  -.0027155   -3.85   0.001   -.0041702    -.001256
      _caste_general = 0 |   .0204501    0.81   0.428   -.0311051    .0688927
              _hindu = 0 |  -.0261778   -0.95   0.362   -.0816204    .0337033
            _rw_both = 0 |  -.0020322   -0.09   0.911   -.0476144    .0433413
           _ownhouse = 0 |   .0544717    2.24   0.040    .0026723    .1032849
           _hhd_size = 0 |   -.000419   -0.11   0.920   -.0084456    .0077175
     _migrate_always = 0 |    .022063    0.86   0.386   -.0295578    .0737451
      _migrate_6plus = 0 |   .0150856    0.59   0.539   -.0340251    .0658408
     _time_to_center = 0 |  -.0004459   -0.34   0.742   -.0031677    .0022414
           _dum_male = 0 |  -.1508232   -0.79   0.522   -.4459739    .5213268
            _dum_age = 0 |  -.2087301   -0.67   0.544    -11.2414    94.08066
  _dum_caste_general = 0 |  -.0234396   -0.33   0.751   -.1818408    .1329365
          _dum_hindu = 0 |   .0394494    0.32   0.757   -.2755627    .3241473
        _dum_rw_both = 0 |  -.0588893   -0.26   0.744   -196.2605    21.06773
       _dum_ownhouse = 0 |  -.0349375   -0.41   0.707    -.224277    .1852203
       _dum_hhd_size = 0 |   .2193863    0.81   0.436   -1.442124    19.81858
 _dum_migrate_always = 0 |   .5325101    6.81   0.733   -21.82748     31.0145
 _dum_time_to_center = 0 |  -.0968591   -2.42   0.031   -.1778607   -.0097625
-----------------------------------------------------------------------------

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90..... done (95)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30.........40..... done (45)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.........30........ done (38)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30......... done (39)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20 done (20)

Wild cluster bootstrap                             Number of obs      = 2,802
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    11
Error weight: Rademacher                                          avg =  43.1
                                                                  max =   101
-----------------------------------------------------------------------------
                    died |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0012747   -0.26   0.800   -.0123104    .0099385
   final_stratum_id1 = 0 |  -.0277121   -3.11   0.076   -.0675101    .0108578
   final_stratum_id2 = 0 |   -.013645   -1.27   0.310   -.0578612    .0276317
   final_stratum_id3 = 0 |  -.0123157   -1.07   0.385   -.1491482    .0949774
   final_stratum_id4 = 0 |  -.0290781   -2.63   0.042   -.0639624   -.0073099
   final_stratum_id5 = 0 |  -.0314389   -3.49   0.029   -.0577598   -.0087696
   final_stratum_id6 = 0 |  -.0084544   -0.72   0.544   -.0854459    .0245394
   final_stratum_id7 = 0 |  -.0329879   -3.95   0.068   -1.331801    .0796841
   final_stratum_id8 = 0 |  -.0014278   -0.11   0.943   -.0494835    .0462166
   final_stratum_id9 = 0 |   -.027559   -2.72   0.048   -.0583681   -.0006848
  final_stratum_id10 = 0 |  -.0237997   -2.01   0.117   -.0522122    .0190261
  final_stratum_id11 = 0 |  -.0317468   -3.78   0.016   -.0589127   -.0127073
  final_stratum_id12 = 0 |   -.036643   -4.31   0.092   -2.230814    .1279387
  final_stratum_id13 = 0 |  -.0357951   -4.24   0.040   -.0926585   -.0041219
            post_exp = 0 |   .0202469    5.52   0.000    .0126266    .0280581
-----------------------------------------------------------------------------
note: _dum_migrate_6plus omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.........30.........40 done (40)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10....... done (17)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _male = 0 ...
Computing confidence interval for _male
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for _age = 0 ...
Computing confidence interval for _age
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10..... done (15)

Performing 5,000 replications for p-value for _caste_general = 0 ...
Computing confidence interval for _caste_general
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _hindu = 0 ...
Computing confidence interval for _hindu
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for _rw_both = 0 ...
Computing confidence interval for _rw_both
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _ownhouse = 0 ...
Computing confidence interval for _ownhouse
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _hhd_size = 0 ...
Computing confidence interval for _hhd_size
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _migrate_always = 0 ...
Computing confidence interval for _migrate_always
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for _migrate_6plus = 0 ...
Computing confidence interval for _migrate_6plus
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _time_to_center = 0 ...
Computing confidence interval for _time_to_center
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _dum_male = 0 ...
Computing confidence interval for _dum_male
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for _dum_age = 0 ...
Computing confidence interval for _dum_age
  Lower bound: .........10.........20.........30.........40 done (40)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for _dum_caste_general = 0 ...
Computing confidence interval for _dum_caste_general
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _dum_hindu = 0 ...
Computing confidence interval for _dum_hindu
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for _dum_rw_both = 0 ...
Computing confidence interval for _dum_rw_both
  Lower bound: .........10.........20.........30.........40 done (40)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for _dum_ownhouse = 0 ...
Computing confidence interval for _dum_ownhouse
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for _dum_hhd_size = 0 ...
Computing confidence interval for _dum_hhd_size
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for _dum_migrate_always = 0 ...
Computing confidence interval for _dum_migrate_always
  Lower bound: .........10.........20.........30....... done (37)
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for _dum_time_to_center = 0 ...
Computing confidence interval for _dum_time_to_center
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20. done (21)

Wild cluster bootstrap                             Number of obs      = 2,802
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    11
Error weight: Rademacher                                          avg =  43.1
                                                                  max =   101
-----------------------------------------------------------------------------
                    died |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0000742   -0.02   0.970   -.0107948    .0110744
   final_stratum_id1 = 0 |  -.0191058   -2.11   0.059   -.0599862    .0027385
   final_stratum_id2 = 0 |  -.0202764   -1.48   0.210    -.058071    .0180246
   final_stratum_id3 = 0 |  -.0056872   -0.51   0.637   -.0823751    .0882685
   final_stratum_id4 = 0 |   -.038296   -3.08   0.039    -.076942   -.0078298
   final_stratum_id5 = 0 |  -.0232973   -2.50   0.040   -.0548081   -.0021567
   final_stratum_id6 = 0 |  -.0053446   -0.42   0.738   -.0948836    .0253925
   final_stratum_id7 = 0 |  -.0243823   -2.94   0.041   -.0545192   -.0031826
   final_stratum_id8 = 0 |    .003777    0.29   0.798   -.0444231    .0465008
   final_stratum_id9 = 0 |  -.0268301   -2.63   0.048   -.0593884   -.0006141
  final_stratum_id10 = 0 |  -.0217725   -1.98   0.094   -.0583426    .0077649
  final_stratum_id11 = 0 |  -.0276047   -3.26   0.017    -.050823   -.0072606
  final_stratum_id12 = 0 |  -.0452693   -4.73   0.060   -.5723065    .0028248
  final_stratum_id13 = 0 |  -.0356716   -4.34   0.027   -.0816584   -.0059286
            post_exp = 0 |   .0198117    5.66   0.000    .0124525    .0272911
               _male = 0 |   -.005608   -1.17   0.256   -.0151182    .0038569
                _age = 0 |   .0005824    3.44   0.000    .0002399    .0009161
      _caste_general = 0 |  -.0007375   -0.17   0.865     -.00983    .0079117
              _hindu = 0 |   .0063707    1.13   0.258   -.0051376    .0180674
            _rw_both = 0 |  -.0044015   -0.73   0.486   -.0165257    .0075249
           _ownhouse = 0 |  -.0066412   -1.31   0.199   -.0171303    .0035375
           _hhd_size = 0 |  -.0003352   -0.33   0.721   -.0024294    .0016145
     _migrate_always = 0 |   .0083155    1.43   0.172   -.0034985    .0200947
      _migrate_6plus = 0 |   .0011168    0.15   0.870   -.0137762    .0168827
     _time_to_center = 0 |  -.0000398   -0.12   0.905   -.0007247    .0006564
           _dum_male = 0 |  -.0168356   -1.28   0.284   -.0658813    .3099891
            _dum_age = 0 |   .0103977    1.08   0.289   -2.148515    .6129548
  _dum_caste_general = 0 |  -.0017249   -0.15   0.968    -.020415     .023655
          _dum_hindu = 0 |    .000253    0.04   0.984   -.0144147    .0140802
        _dum_rw_both = 0 |   .0192217    2.25   0.206   -1.891479    2.187074
       _dum_ownhouse = 0 |  -.0052481   -0.24   0.962   -.0392961    .0504858
       _dum_hhd_size = 0 |  -.0173562   -0.93   0.488   -.5023159    .8290716
 _dum_migrate_always = 0 |   .0126776    1.31   0.565   -4.306509    2.538965
 _dum_time_to_center = 0 |   .0175505    1.57   0.131    -.004747    .0408489
-----------------------------------------------------------------------------

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10......... done (19)
  Upper bound: .........10....... done (17)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.........30....... done (37)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.........30....... done (37)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20... done (23)

Wild cluster bootstrap                             Number of obs      = 2,802
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    11
Error weight: Rademacher                                          avg =  43.1
                                                                  max =   101
-----------------------------------------------------------------------------
         outcome_unknown |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.0000982   -0.01   0.988   -.0263678     .025815
   final_stratum_id1 = 0 |  -.0313874   -1.33   0.653   -.1477626    .1170967
   final_stratum_id2 = 0 |  -.0278194   -0.86   0.542   -.1783739    .0756548
   final_stratum_id3 = 0 |  -.0089545   -0.37   0.756   -.1549301    .2756279
   final_stratum_id4 = 0 |  -.0039666   -0.13   0.788   -.5577842    9.367993
   final_stratum_id5 = 0 |  -.0116766   -0.37   0.778   -.1142517    .1265667
   final_stratum_id6 = 0 |   .0442947    1.05   0.389   -.1025164    2.779926
   final_stratum_id7 = 0 |   -.010331   -0.49   0.577   -.2943564    2.877857
   final_stratum_id8 = 0 |   .0395999    1.11   0.310   -.1004231    .1865682
   final_stratum_id9 = 0 |   .0016113    0.04   0.924   -.1423039    .1557789
  final_stratum_id10 = 0 |  -.0032107   -0.11   0.890   -.1117412    .0908263
  final_stratum_id11 = 0 |   .0849905    1.33   0.365   -.1584948    .3370024
  final_stratum_id12 = 0 |   .0748041    3.43   0.146   -.3210315    5.839267
  final_stratum_id13 = 0 |   .1607131    5.45   0.032    .0744705    .3161354
            post_exp = 0 |   .1433665   13.38   0.000    .1216563    .1648151
-----------------------------------------------------------------------------
note: _dum_migrate_6plus omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.........30....... done (37)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.........30......... done (39)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10........ done (18)
  Upper bound: .........10....... done (17)

Performing 5,000 replications for p-value for _male = 0 ...
Computing confidence interval for _male
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10....... done (17)

Performing 5,000 replications for p-value for _age = 0 ...
Computing confidence interval for _age
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _caste_general = 0 ...
Computing confidence interval for _caste_general
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _hindu = 0 ...
Computing confidence interval for _hindu
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _rw_both = 0 ...
Computing confidence interval for _rw_both
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _ownhouse = 0 ...
Computing confidence interval for _ownhouse
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for _hhd_size = 0 ...
Computing confidence interval for _hhd_size
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _migrate_always = 0 ...
Computing confidence interval for _migrate_always
  Lower bound: .........10....... done (17)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for _migrate_6plus = 0 ...
Computing confidence interval for _migrate_6plus
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _time_to_center = 0 ...
Computing confidence interval for _time_to_center
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _dum_male = 0 ...
Computing confidence interval for _dum_male
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for _dum_age = 0 ...
Computing confidence interval for _dum_age
  Lower bound: .........10.........20.........30.... done (34)
  Upper bound: .........10.........20.........30..... done (35)

Performing 5,000 replications for p-value for _dum_caste_general = 0 ...
Computing confidence interval for _dum_caste_general
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _dum_hindu = 0 ...
Computing confidence interval for _dum_hindu
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _dum_rw_both = 0 ...
Computing confidence interval for _dum_rw_both
  Lower bound: .........10.........20.........30.........40 done (40)
  Upper bound: .........10.........20.........30........ done (38)

Performing 5,000 replications for p-value for _dum_ownhouse = 0 ...
Computing confidence interval for _dum_ownhouse
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _dum_hhd_size = 0 ...
Computing confidence interval for _dum_hhd_size
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for _dum_migrate_always = 0 ...
Computing confidence interval for _dum_migrate_always
  Lower bound: .........10.........20.........30....... done (37)
  Upper bound: .........10.........20.........30.........40 done (40)

Performing 5,000 replications for p-value for _dum_time_to_center = 0 ...
Computing confidence interval for _dum_time_to_center
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20... done (23)

Wild cluster bootstrap                             Number of obs      = 2,802
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    11
Error weight: Rademacher                                          avg =  43.1
                                                                  max =   101
-----------------------------------------------------------------------------
         outcome_unknown |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .0030046    0.27   0.814   -.0219187     .027739
   final_stratum_id1 = 0 |  -.0024727   -0.13   0.942   -.0564068    .1167598
   final_stratum_id2 = 0 |   -.052619   -1.84   0.178   -.2124469    .0277044
   final_stratum_id3 = 0 |   .0086361    0.47   0.665   -.0899534    .1486477
   final_stratum_id4 = 0 |  -.0624728   -2.32   0.113   -.4349034    .0116858
   final_stratum_id5 = 0 |   .0128774    0.43   0.689   -.0713403    .1582766
   final_stratum_id6 = 0 |    .062651    1.77   0.146   -.0523622    .3079587
   final_stratum_id7 = 0 |   .0011863    0.06   0.943   -.0472051     .086176
   final_stratum_id8 = 0 |   .0496239    1.60   0.170   -.0524545    .1862606
   final_stratum_id9 = 0 |   .0103972    0.36   0.738   -.1035146    .1246575
  final_stratum_id10 = 0 |   .0125598    0.58   0.628    -.064465    .1023096
  final_stratum_id11 = 0 |   .1158763    1.92   0.224   -.1035653    .3686601
  final_stratum_id12 = 0 |   .0507091    2.24   0.119   -.3070258    3.481594
  final_stratum_id13 = 0 |   .1431661    6.18   0.034     .085264    .2488032
            post_exp = 0 |   .1370524   13.03   0.000    .1150501    .1589858
               _male = 0 |   .0284936    2.45   0.022    .0052462    .0515084
                _age = 0 |    .000591    1.67   0.099   -.0001116    .0013233
      _caste_general = 0 |  -.0108144   -0.59   0.560   -.0481815    .0277464
              _hindu = 0 |   .0246291    1.48   0.148   -.0097121    .0580632
            _rw_both = 0 |   -.005019   -0.39   0.701    -.030885    .0212142
           _ownhouse = 0 |  -.0623335   -4.07   0.000   -.0922139   -.0313807
           _hhd_size = 0 |   .0015069    0.54   0.610   -.0040939    .0072834
     _migrate_always = 0 |   -.099235   -5.62   0.000   -.1345317   -.0632481
      _migrate_6plus = 0 |  -.0900933   -5.15   0.000   -.1242233   -.0559935
     _time_to_center = 0 |  -.0001158   -0.19   0.838   -.0013809    .0011268
           _dum_male = 0 |    .337353    1.45   0.456   -1.878517     .833716
            _dum_age = 0 |  -.0556876   -0.81   0.792   -17.45416     5.06952
  _dum_caste_general = 0 |   .0940645    2.09   0.045    .0018328     .188588
          _dum_hindu = 0 |   .1937184    1.70   0.162   -.0332549    .5170936
        _dum_rw_both = 0 |   .0054551    0.19   0.859   -10.71095    18.42983
       _dum_ownhouse = 0 |   .1149028    1.58   0.204   -.0645734    .2840485
       _dum_hhd_size = 0 |   .0506553    0.25   0.724   -8.211052    1.082933
 _dum_migrate_always = 0 |  -.1176256   -3.76   0.407   -8.660465    8.026754
 _dum_time_to_center = 0 |   .0582066    2.17   0.038     .003745    .1150394
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